Pretam Ray

Data Scientist

https://talent.gravityer.com/pretam-ray

MS (Research) CSE IIT Kharagpur | Ex - Research Intern @ AMD

West Bengal, India

Key Strengths

Extensive personal project experience in Python, particularly in Natural Language Processing (NLP) and Machine Learning (ML) domains.
Demonstrated interest in large language models (LLMs) and adaptive model selection ('AdaptEvolve' project).
Experience with various ML/NLP techniques including knowledge distillation, contrastive self-supervised learning, and diffusion-based frameworks.
Familiarity with core data science tools like Jupyter Notebook.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's project portfolio indicates a strong individual contributor profile with a focus on research-oriented and academic projects. While this demonstrates initiative and deep technical interest, there is insufficient data to assess team collaboration, adaptability to diverse work environments, or alignment with specific company culture values. The projects are diverse within the ML/NLP domain, but lack explicit examples of cross-functional collaboration or business impact.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The candidate's profile primarily showcases technical project work without details on collaboration, problem-solving approaches, or communication styles.

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Projects

NIOS_devs

April 20, 2026 – Present

NIOS_devs — GitHub repository

View Project

raypretam.github.io

March 22, 2026 – Present

raypretam.github.io — GitHub repository

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AdaptEvolve

December 19, 2025 – Present

AdaptEvolve is an intelligent system for adaptive large language model (LLM) selection that dynamically routes queries between small and large models based on confidence metrics.

View Project

diff-comp

November 21, 2025 – Present

Diffusion Based Framework for Nested Compound Type Identification

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cssl-DP

April 7, 2025 – April 7, 2025

CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages

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low-res-nmt

January 7, 2025 – January 31, 2025

Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study

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word_grouping_data

November 23, 2024 – July 25, 2025

word_grouping_data — GitHub repository

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constrained_decoding

September 3, 2024 – September 15, 2024

constrained_decoding — GitHub repository

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Two-step-low-res-NMT

July 5, 2024 – December 30, 2024

Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case Study

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Linear-Algebra

April 7, 2020 – July 9, 2020

Codes for popular numerical optimization methods and machine learning algorithms in python3

View Project

Key Strengths

Extensive personal project experience in Python, particularly in Natural Language Processing (NLP) and Machine Learning (ML) domains.
Demonstrated interest in large language models (LLMs) and adaptive model selection ('AdaptEvolve' project).
Experience with various ML/NLP techniques including knowledge distillation, contrastive self-supervised learning, and diffusion-based frameworks.
Familiarity with core data science tools like Jupyter Notebook.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Pretam Ray

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit